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Harnham Linkedin · Posted 14d ago

Senior Analytics Engineer 196462

Orange County, California, United States

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Indexed description

Senior Analytics Engineer

$150,000 - $190,000 + benefits

This is a unique opportunity for a Senior Analytics Engineer to play a key role in building scalable data models and analytics products that directly influence business decision-making. You will work on complex data challenges and help shape how data is used across the organisation.

The Company

They are a fast-growing, technology-led organisation with a strong focus on data-driven decision-making. Their teams are building modern data platforms that enable high-quality analytics and operational insight at scale. Collaboration and innovation are central to their culture, with a strong emphasis on delivering robust, usable data products. They are investing in best-in-class tooling to support advanced analytics and data engineering practices.

The Role

  • Design and develop scalable data models that support analytics and operational use cases
  • Build and maintain data pipelines to integrate multiple data sources into a unified platform
  • Collaborate with stakeholders to understand business needs and translate them into data solutions
  • Lead the development of analytics workflows, metrics, and data products
  • Contribute to the design and evolution of the organisation’s data platform and architecture
  • Promote best practices across data modelling, testing, and deployment

Your Skills & Experience

  • Strong commercial experience in analytics engineering, data engineering, or a similar role
  • Advanced SQL skills and experience with a modern data stack
  • Experience working with tools such as dbt, Redshift, Looker or similar platforms
  • Strong programming capability in Python or an equivalent language
  • Proven ability to develop robust, scalable data models in a fast-paced environment
  • Strong stakeholder management and communication skills

What They Offer

  • Opportunity to work on modern data infrastructure and tooling
  • Strong career progression within a growing data function
  • Collaborative and technically driven team environment

How to Apply

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